Cover Image

HyFormer-Net: A Synergistic CNN-Transformer with Interpretable Multi-Scale Fusion for Breast Lesion Segmentation and Classification in Ultrasound Images

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Rahman, Mohammad Amanour
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ScaleFusionNet: Transformer-Guided Multi-Scale Feature Fusion for Skin Lesion Segmentation
by: Qamar, Saqib, et al.
Published: (2025)

A Synergistic CNN-Transformer Network with Pooling Attention Fusion for Hyperspectral Image Classification
by: Chen, Peng, et al.
Published: (2026)

Vision Transformer for Classification of Breast Ultrasound Images
by: Gheflati, Behnaz, et al.
Published: (2021)

PINN-EMFNet: PINN-based and Enhanced Multi-Scale Feature Fusion Network for Breast Ultrasound Images Segmentation
by: Ding, Jiajun, et al.
Published: (2024)

AResNet-ViT: A Hybrid CNN-Transformer Network for Benign and Malignant Breast Nodule Classification in Ultrasound Images
by: Zhao, Xin, et al.
Published: (2024)

Ultrasound SAM Adapter: Adapting SAM for Breast Lesion Segmentation in Ultrasound Images
by: Tu, Zhengzheng, et al.
Published: (2024)

A Spatial-Temporal Progressive Fusion Network for Breast Lesion Segmentation in Ultrasound Videos
by: Tu, Zhengzheng, et al.
Published: (2024)

HyPCA-Net: Advancing Multimodal Fusion in Medical Image Analysis
by: Dhar, J., et al.
Published: (2026)

TESL-Net: A Transformer-Enhanced CNN for Accurate Skin Lesion Segmentation
by: Iqbal, Shahzaib, et al.
Published: (2024)

ACS-SegNet: An Attention-Based CNN-SegFormer Segmentation Network for Tissue Segmentation in Histopathology
by: Torbati, Nima, et al.
Published: (2025)

MSLAU-Net: A Hybrid CNN-Transformer Network for Medical Image Segmentation
by: Lan, Libin, et al.
Published: (2025)

MK-UNet: Multi-kernel Lightweight CNN for Medical Image Segmentation
by: Rahman, Md Mostafijur, et al.
Published: (2025)

Prompt-Free SAM-Based Multi-Task Framework for Breast Ultrasound Lesion Segmentation and Classification
by: Johnny, Samuel E., et al.
Published: (2026)

WoundFormer: Multi-Scale Spatial Feature Fusion for Multi-Class Wound Tissue Segmentation
by: Kabir, Muhammad Ashad, et al.
Published: (2026)

Vision Mamba for Classification of Breast Ultrasound Images
by: Nasiri-Sarvi, Ali, et al.
Published: (2024)

Interpretable Deep Transfer Learning for Breast Ultrasound Cancer Detection: A Multi-Dataset Study
by: Abbadi, Mohammad, et al.
Published: (2025)

BRAU-Net++: U-Shaped Hybrid CNN-Transformer Network for Medical Image Segmentation
by: Lan, Libin, et al.
Published: (2024)

FuseFormer: A Transformer for Visual and Thermal Image Fusion
by: Erdogan, Aytekin, et al.
Published: (2024)

GeoFormer: A Multi-Polygon Segmentation Transformer
by: Khomiakov, Maxim, et al.
Published: (2024)

HyCTAS: Multi-Objective Hybrid Convolution-Transformer Architecture Search for Real-Time Image Segmentation
by: Yu, Hongyuan, et al.
Published: (2024)

Deep Skin Lesion Segmentation with Transformer-CNN Fusion: Toward Intelligent Skin Cancer Analysis
by: Wang, Xin, et al.
Published: (2025)

SA$^{2}$Net: Scale-Adaptive Structure-Affinity Transformation for Spine Segmentation from Ultrasound Volume Projection Imaging
by: Xie, Hao, et al.
Published: (2025)

HyTver: A Novel Loss Function for Longitudinal Multiple Sclerosis Lesion Segmentation
by: Perera, Dayan, et al.
Published: (2025)

HyFusion: Enhanced Reception Field Transformer for Hyperspectral Image Fusion
by: Lee, Chia-Ming, et al.
Published: (2025)

SMAFormer: Synergistic Multi-Attention Transformer for Medical Image Segmentation
by: Zheng, Fuchen, et al.
Published: (2024)

EVCC: Enhanced Vision Transformer-ConvNeXt-CoAtNet Fusion for Classification
by: Hasan, Kazi Reyazul, et al.
Published: (2025)

Multi-organ Self-supervised Contrastive Learning for Breast Lesion Segmentation
by: Figueiras, Hugo, et al.
Published: (2024)

MedPrompt: LLM-CNN Fusion with Weight Routing for Medical Image Segmentation and Classification
by: Sobhan, Shadman, et al.
Published: (2025)

Transformer-CNN Fused Architecture for Enhanced Skin Lesion Segmentation
by: Tiwari, Siddharth
Published: (2024)

Modifying the U-Net's Encoder-Decoder Architecture for Segmentation of Tumors in Breast Ultrasound Images
by: Derakhshandeh, Sina, et al.
Published: (2024)

ScribFormer: Transformer Makes CNN Work Better for Scribble-based Medical Image Segmentation
by: Li, Zihan, et al.
Published: (2024)

Segmentation of Ischemic Stroke Lesions using Transfer Learning on Multi-sequence MRI
by: Chowdhury, R. P., et al.
Published: (2025)

Skin Cancer Classification: Hybrid CNN-Transformer Models with KAN-Based Fusion
by: Agarwal, Shubhi, et al.
Published: (2025)

AAU-net: An Adaptive Attention U-net for Breast Lesions Segmentation in Ultrasound Images
by: Chen, Gongping, et al.
Published: (2022)

MATCNN: Infrared and Visible Image Fusion Method Based on Multi-scale CNN with Attention Transformer
by: Liu, Jingjing, et al.
Published: (2025)

HResFormer: Hybrid Residual Transformer for Volumetric Medical Image Segmentation
by: Ren, Sucheng, et al.
Published: (2024)

DBF-Net: A Dual-Branch Network with Feature Fusion for Ultrasound Image Segmentation
by: Xu, Guoping, et al.
Published: (2024)

Supervised Contrastive Vision Transformer for Breast Histopathological Image Classification
by: Shiri, Mohammad, et al.
Published: (2024)

PlaceFormer: Transformer-based Visual Place Recognition using Multi-Scale Patch Selection and Fusion
by: Kannan, Shyam Sundar, et al.
Published: (2024)

GasTwinFormer: A Hybrid Vision Transformer for Livestock Methane Emission Segmentation and Dietary Classification in Optical Gas Imaging
by: Sarker, Toqi Tahamid, et al.
Published: (2025)